Energy Management System Load Balancing for Network Congestion
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Solution Overview
Problem
Existing energy management systems face issues with network congestion and information loss due to high data collection points and unstable networks.
Innovation Solution
The proposed energy management system includes a data acquisition layer, a data storage layer, and a data management layer, with a first load balancing device that monitors communication flow and adjusts communication links to balance load and prevent congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data collection points are increased to improve data coverage, then data completeness is improved, but network congestion and information loss occur
Solution Approach 1:
The system segments data collection by creating multiple data collection layers (first data collection layer and second data collection layer) with different collection frequencies. The first layer collects data at a higher frequency while the second layer collects at a lower frequency, dividing the data collection task to prevent network congestion while maintaining comprehensive data coverage.
Solution Approach 2:
The system implements periodic data collection with different periods for different data types. Critical data is collected more frequently while non-critical data is collected less frequently, creating a periodic action pattern that balances data completeness with network load management.
2Productivity
If communication flow increases to handle more data, then data transmission capacity is improved, but network stability deteriorates
Solution Approach 1:
The system dynamically adjusts communication flow by switching between first communication links and second communication links based on real-time network conditions. When the first communication link becomes congested, the system dynamically redirects traffic through the second communication link, maintaining network stability while preserving data transmission capacity.
Solution Approach 2:
The system introduces an intermediary load balancing device that mediates between data collection points and the server. This intermediary monitors network conditions and intelligently routes data packets, preventing direct congestion between data sources and the server while maintaining high transmission capacity.
3Device complexity
If single communication link is used to simplify system structure, then device complexity is reduced, but communication reliability decreases
Solution Approach 1:
The system implements multi-functionality by equipping data collection devices with both first communication links and second communication links. These communication links serve different purposes: the first link handles normal high-volume traffic while the second link provides backup and handles overflow traffic, making each communication device universally capable of handling various network conditions.
Data Source
AI summary
An energy management system includes a data acquisition layer, a data storage layer, and a data management layer. The data acquisition layer is configured to obtain and analyze original data of one or more access devices to obtain analyzed data, and each access device is a device of an energy storage system. The data storage layer is configured to store the analyzed data outputted by the data acquisition layer. The data management layer is configured to send the analyzed data stored in the data storage layer to a client server or a third-party server according to a sending request or configuration information. The data acquisition layer includes a first communication device configured to establish a first communication link and a second communication link with each access device, and includes a first load balancing device configured to control a communication status of the first communication device.